IBM® Datacap helps you streamline the capture, recognition and classification of business documents and extract important information. Datacap supports multiple-channel capture by processing paper documents on scanners, mobile devices, multi-function peripherals and fax. It uses natural language processing, text analytics and machine learning technologies, like those in IBM Watson, to automatically identify, classify and extract content from unstructured or variable documents. The software can reduce labor and paper costs, deliver meaningful information and support faster decision making.

Use Cognitive Data Capture with Robotic Process Automation (RPA)

5 minute demo

This demonstration will show the process of scanning, classification and data extraction of insurance renewal quote documents. Also included is export to IBM Robotic Process Automation (RPA) with Automation Anywhere for further task automation.

Use the Datacap MetaBot with Robotic Process Automation (RPA)

5 minute demo

Need to insert advanced document recognition in your IBM Robotic Process Automation (RPA) with Automation Anywhere robot? Use the Datacap MetaBot for native and easy integration!

Use Datacap Mobile for Account Opening Documents

4 minute demo

Use Datacap Mobile for an intuitive experience where your users or customers capture, verify, and submit the business documents you need. See this account opening example for retirement documents.

Use Cognitive Data Capture in Unstructured Documents

4 minute demo

This demonstration showcases IBM Datacap Insight Edition for classifying and extracting data from unstructured documents using built-in text analytics capabilities.

Tour IBM Datacap: Quickly capture and deliver data from your business documents

Get experience capturing valuable data from your business documents and enterprise content by using IBM® Datacap Insight Edition on the IBM Automation Platform for Digital Business.

  • Import an insurance quote document
  • Extract data by using OCR and verify the data
  • Export the structured quote data
  • Import a correspondence document
  • Extract and understand meaning by using Watson Natural Language Understanding

15-30 minute introduction